Bibliographic record
Abstract
INTRODUCTION: More than half of painless solid swellings of the body of the testis are malignant, with a peak incidence in men aged 25 to 35 years. Most testicular cancers are germ cell tumours and half of these are seminomas, which tend to affect older men and have a good prognosis. METHODS AND OUTCOMES: We conducted a systematic review and aimed to answer the following clinical questions: What are the effects of treatments in men with stage 1 seminoma (confined to testis) who have undergone orchidectomy? What are the effects of treatments in men with good-prognosis non-stage 1 seminoma who have undergone orchidectomy? What are the effects of maintenance chemotherapy in men who are in remission after orchidectomy and chemotherapy for good-prognosis non-stage 1 seminoma? What are the effects of treatments in men with intermediate-prognosis seminoma who have undergone orchidectomy? We searched: Medline, Embase, The Cochrane Library, and other important databases up to June 2010 (Clinical Evidence reviews are updated periodically; please check our website for the most up-to-date version of this review). We included harms alerts from relevant organisations such as the US Food and Drug Administration (FDA) and the UK Medicines and Healthcare products Regulatory Agency (MHRA). RESULTS: We found 29 systematic reviews, RCTs, or observational studies that met our inclusion criteria. We performed a GRADE evaluation of the quality of evidence for interventions. CONCLUSIONS: In this systematic review, we present information relating to the effectiveness and safety of the following interventions: chemotherapy (maintenance, adjuvant, single-agent carboplatin, 3 or 4 cycles, different number of cycles of adjuvant, using bleomycin added to vinblastine plus cisplatin, using etoposide plus cisplatin with or without bleomycin, adding higher doses to a 2-drug chemotherapy regimen using cisplatin or vinblastine); radiotherapy (different adjuvant regimens [20 Gy in 10 fractions to para-aortic area, 30 Gy in 15 fractions to para-aortic area and iliac nodes], different drug combinations, 30-36 Gy in 15-18 fractions); and surveillance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".